Healthcare is one of the most impactful, critical and intimate interactions of people with the rapidly changing technological paradigm. With the advent of so-called smart healthcare, the entire industry will experience a suite of new interconnected products and applications that improve upon current diagnostic and treatment procedures employed by healthcare professionals, as well as the care delivery experienced by patients. These novel and Industry 4.0-driven practices promise to improve healthcare for people with proactive monitoring, increased precision in surgical procedures, deep analytical insights and interconnected care delivery. Smart healthcare is set to inaugurate radical changes in the diagnosis and treatment of patients. This deep dive into patent filings, SEP declarations and standards contributions that describe a smart healthcare application provides a compelling snapshot of this growing area.
The concept of smart healthcare is enabled by technologies such as AI, 5G, cloud computing, Big Data, robotics and the Internet of Things. From a doctor’s perspective, AI-powered systems could be leveraged to support diagnosis and decision making, use highly intelligent information management systems that report personalized stats for their patients and perform minimally invasive and highly precise surgical procedures using surgical robots and mixed-reality technologies.
Patients can benefit greatly from using wearable devices that can track their vitals and feed these into a personalized reporting dashboard that not only notifies them and their doctor of an anomaly, but also suggests changes to prevent diseases and promote healthier lifestyles. Patients can also be provided with immediate care by leveraging telemedicine technologies and can talk to virtual assistants for immediate support. The active monitoring and reporting of patients can help doctors deliver much more personalized care and even prevent the onset of diseases such as cancer.
Hospitals and medical research institutes can benefit from a smart healthcare ecosystem, where they have integrated systems for efficiently managing resources and streamlining their supply chain. Medical research institutes can use machine learning and Big Data to yield better and more accurate diagnostic techniques.
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